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ISO 19139 Metadata Implementation Specification
FALSE
Climate_Vul_Index
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002
0.000
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GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_11N
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FGDC
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
external
df41323b6d71f94c14c8ceb91baf14b3
Javier Minjares
Southern California Association of Governments
Senior Regional Planner
(213) 236-1893
818 W 7th St.
12 floor
Los Angeles
CA
90017
Los Angeles
Minjares@scag.ca.gov
True
Javier Minjares
ArcGIS Metadata
1.0
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
The online copy of the TIGER/Line files may be accessed without charge.
To obtain more information about ordering TIGER/Line shapefiles visit http://www.census.gov/geo/www/tiger
TGRSHP (compressed)
PK-ZIP, version 1.93 A or higher
http://www.census.gov/geo/www/tiger
http://www.census.gov/geo/www/tiger
0.000
Shapefile
2010-01-01
2010
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
Climate_Vul_Index
<div style='text-align:Left;'><p><span>The Climate Vulnerability Index was developed by the </span><a href='https://www.edf.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>Environmental Defense Fund</a><span> and </span><a href='https://www.tamu.edu/index.html' target='_blank' rel='nofollow ugc noopener noreferrer'>Texas A&M University</a><span>. Climate change increases the impacts of</span></p><p><ul><li>Worsening infectious and chronic diseases</li><li>Intensifying social and economic distress</li><li>Increasing severity of extreme weather events</li></ul><div>These worsening impacts are disproportionately impacting vulnerable populations. Using 184 datasets the Climate Vulnerability Index ranks more than 70,000 U.S. Census tracts on climate vulnerability.</div><div><br /></div><div>For the <a href='https://www.socalearth.org/' target='_blank' rel='nofollow ugc noopener noreferrer'>SoCal Earth</a>, our rankings typically run from 1 to 5, 1 being worse quality and 5 being best. Using the original Climate Vulnerability Index percentages (high percentages being <b>most </b>vulnerability), we have inverted the scale so that 1 is the <b>worst </b>vulnerability, and 5 is the best. The current index results run from 0.293 to 0.664. Using our 1 to 5 rank, this range converts to a rank of only 2 - 4.</div></p></div>
This layer represents climate vulnerability indicators used to evaluate community risk and adaptive capacity to climate-related impacts.
<p><b>Source:</b> Derived dataset created by author using public energy GIS datasets including California Energy Commission (CEC), USGS, CalGEM, SCAG, and California State Lands Commission. 2026. Climate Vulnerability Index. Southern California, California.</p>
<p>Modified by author (geoprocessed, clipped, and analyzed in ArcGIS Pro).</p>
Climate vulnerability dataset used to assess exposure and sensitivity to climate change.
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
301-763-1128
301-763-4710
4600 Silver Hill Road, Stop 7400
Washington
DC
20233-7400
US
geo.tiger@census.gov
INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
United States
06
CA
U.S.
State or Equivalent Entity
California
Polygon
Census Block
Block
State or equivalent entity
ISO 19115 Topic Categories
Census Tracts, Tract boundaries, County Census Tracts, SCAG Census Tracts
Climate ResilienceClimate Vulnerability
No warranty, expressed or implied is made with regard to the accuracy of these data, and no liability is assumed by the U.S. Government in general or the U.S. Census Bureau in specific as to the spatial or attribute accuracy of the data. The act of distribution shall not constitute any such warranty and no responsibility is assumed by the U.S. government in the use of these files. The boundary information in the TIGER/Line Shapefiles is for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes do not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions.
<p>This is produced by the Robert Redford Conservancy for Southern California Sustainability at Pitzer College.</p>
<p>The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Robert Redford Conservancy (RRC) or Pitzer College concerning the legal or development status of any country, territory, city, or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific countries or practices is based on the best available information.</p>
<p>All reasonable precautions have been taken by the RRC to verify the information contained in this report. However, the published material is being distributed without warranty of any kind, either expressed or implied.</p>
<p>The responsibility for the interpretation and use of the material lies with the reader. In no event shall the RRC or Pitzer College be liable for damages arising from its use.</p>
<p>This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/.</p>
<p>Under the terms of this license, this work may be copied, redistributed, and adapted for commercial or non-commercial purposes, provided that The Work is appropriately cited.</p>
<p>In any use of this work, there should be no suggestion that the RRC or Pitzer College endorses any specific organization, products, or services. The use of the RRC or Pitzer logo is not permitted. If The Work is adapted, then it must be licensed under the same or equivalent Creative Commons license.</p>
<p>Regarding third-party materials. Users wishing to reuse material from this work that is attributed to a third party, such as tables, figures, or images, are responsible for determining whether permission is needed for that reuse and for obtaining permission from the copyright holder. The risk of claims resulting from infringement of any third-party-owned component in the work rests solely with the user.</p>
<p>FMI: rrc@pitzer.edu or communications@pitzer.edu</p>
publication date
2010-01-01
2010-07-01
external
df41323b6d71f94c14c8ceb91baf14b3
Javier Minjares
Southern California Association of Governments
Senior Regional Planner
(213) 236-1893
818 W 7th St.
12 floor
Los Angeles
CA
90017
Los Angeles
Minjares@scag.ca.gov
True
Javier Minjares
Esri ArcGIS 13.2.2.49743
1
-119.660205
-114.077623
35.816810
32.590236
https://climatevulnerabilityindex.org/
The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Segments making up the outer and inner boundaries of a polygon tie end-to-end to completely enclose the area. All polygons are tested for closure. The Census Bureau uses its internally developed geographic update system to enhance and modify spatial and attribute data in the Census MAF/TIGER database. Standard geographic codes, such as FIPS codes for states, counties, municipalities, county subdivisions, places, American Indian/Alaska Native/Native Hawaiian areas, and congressional districts are used when encoding spatial entities. The Census Bureau performed spatial data tests for logical consistency of the codes during the compilation of the original Census MAF/TIGER database files. Most of the codes for geographic entities except states, counties, urban areas, Core Based Statistical Areas (CBSAs), American Indian Areas (AIAs), and congressional districts were provided to the Census Bureau by the USGS, the agency responsible for maintaining FIPS 55. Feature attribute information has been examined but has not been fully tested for consistency. For the TIGER/Line Shapefiles, the Point and Vector Object Count for the G-polygon SDTS Point and Vector Object Type reflects the number of records in the shapefile attribute table. For multi-polygon features, only one attribute record exists for each multi-polygon rather than one attribute record per individual G-polygon component of the multi-polygon feature. TIGER/Line Shapefile multi-polygons are an exception to the G-polygon object type classification. Therefore, when multi-polygons exist in a shapefile, the object count will be less than the actual number of G-polygons.
Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line Shapefiles were created.
Accurate against Federal Information Processing Standards (FIPS), FIPS Publication 6-4, and FIPS-55 at the 100% level for the codes and base names. The remaining attribute information has been examined but has not been fully tested for accuracy.
Create Census partial tract ID and merge Census data
The selected geographic and cartographic information (line segments) are derived from the U.S. Census Bureau's Master Address File Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.
Census MAF/TIGER database
MAF/TIGER
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
publication date
2010-01-01
2010-07-01
TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes for line, polygon, or landmark geographic data.
2010-01-01
Census MAF/TIGER
Federal Information Processing Standards (FIPS), ANSI, and feature names.
0
Climate_Vul_Index
Feature Class
0
2010 Census Block State-based
U.S. Census Bureau
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OBJECTID
Integer
10
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
STATEFP10
STATEFP10
String
2
0
0
PART_COUNT
PART_COUNT
Double
19
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
COUNTYFP10
COUNTYFP10
String
3
0
0
TRACTCE10
TRACTCE10
String
6
0
0
Acres
Area of Partial Tract in Acres
acres
Double
19
0
0
NAME10
NAME10
String
7
0
0
NAMELSAD10
NAMELSAD10
String
20
0
0
MTFCC10
MTFCC10
String
5
0
0
FUNCSTAT10
FUNCSTAT10
String
1
0
0
ALAND10
ALAND10
Double
19
0
0
AWATER10
AWATER10
Double
19
0
0
INTPTLAT10
INTPTLAT10
String
11
0
0
INTPTLON10
INTPTLON10
String
12
0
0
Shape
Feature geometry.
ESRI
Coordinates defining the features.
Shape
Geometry
0
0
0
GlobalID
GlobalID
String
38
0
0
GEOID10
GEOID10
String
11
0
0
MHINC_2014
MHINC_2014
Integer
10
10
0
AB2_MHI
AB2_MHI
Integer
10
10
0
UNEMP_RATE
UNEMP_RATE
Double
19
0
0
AB2_EMP
AB2_EMP
Integer
5
5
0
CRI_VLNT
CRI_VLNT
Integer
10
10
0
CRI_PROP
CRI_PROP
Integer
10
10
0
AB2_CRIME
AB2_CRIME
Integer
5
5
0
NOTES
NOTES
String
50
0
0
YEAR
YEAR
Integer
5
5
0
OBJECTID_1
ObjectID_1
Integer
9
9
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
ORIG_FID
ORIG_FID
Integer
10
10
0
created_us
created_us
String
254
0
0
created_da
created_da
Date
8
0
0
last_edite
last_edite
String
254
0
0
last_edi_1
last_edi_1
Date
8
0
0
Acre
Acre
Integer
10
10
0
State
State
String
254
0
0
County
County
String
254
0
0
FIPS_Code
FIPS_Code
String
254
0
0
Overall_CV
Overall_CV
Double
19
0
0
Baseline__
Baseline__
Double
19
0
0
Baseline_1
Baseline_1
Double
19
0
0
Baseline_2
Baseline_2
Double
19
0
0
Baseline_3
Baseline_3
Double
19
0
0
Baseline_4
Baseline_4
Double
19
0
0
Climate_Ch
Climate_Ch
Double
19
0
0
Climate__1
Climate__1
Double
19
0
0
Climate__2
Climate__2
Double
19
0
0
Climate__3
Climate__3
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
dataset
EPSG
6.11(3.0.1)
Simple
FALSE
0
FALSE
FALSE
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